In this paper we propose two generalized versions of the individual risk model that include the possibility of catastrophes. Even though the models were developed with home insurance in mind, they can be used in other contexts. The first model is a mathematical formalization of the simulation techniques used in the insurance industry. It allows for a micro-economic formulation useful for ratemaking and a macro-economic formulation more appropriate for catastrophe bond or option pricing. The second model is a spatial specification of the individ-ual risk model that includes correlation between risks as a function of geographic proximity. We outline some of the properties of these more general models and propose methods of specifying their va...
Mathematical risk assessment models based on empirical data and supported by the principles of physi...
© 2016 Society for Risk Analysis As flood risks grow worldwide, a well-designed insurance program en...
The spatial mapping of risk is critical in planning for disaster preparedness. An application from a...
The catastrophic losses caused by Hurricane Andrew and the Northridge Earthquake are leading many ac...
The aim of this paper is to discuss a spatially explicit integrated framework for management of cata...
This paper explores the application of spatial models to non-life insurance data focused on the mult...
This paper explores the application of spatial models to non-life insurance data focused on the mult...
This paper describes a spatial-dynamic,stochastic optimization model that takes account ofthe comple...
Spatial models, such as the Besag, York and Mollie (BYM)model, have long been used in epidemiology a...
This contribution deals with a quite common but relevant issue in insurance. Suppose to be intereste...
When analyzing catastrophic risk, traditional measures for evaluating risk, such as the probable max...
The paper proposes for the general framework for the optimization capacity of an insurance industry ...
This thesis introduces various approaches to natural catastrophe risk assessment in (re)insurance en...
This paper presents the emergence and evolution of catastrophe models (cat models). Starting with th...
Spatial models, such as the Besag, York and Mollie (BYM) model, have long been used in epidemiology ...
Mathematical risk assessment models based on empirical data and supported by the principles of physi...
© 2016 Society for Risk Analysis As flood risks grow worldwide, a well-designed insurance program en...
The spatial mapping of risk is critical in planning for disaster preparedness. An application from a...
The catastrophic losses caused by Hurricane Andrew and the Northridge Earthquake are leading many ac...
The aim of this paper is to discuss a spatially explicit integrated framework for management of cata...
This paper explores the application of spatial models to non-life insurance data focused on the mult...
This paper explores the application of spatial models to non-life insurance data focused on the mult...
This paper describes a spatial-dynamic,stochastic optimization model that takes account ofthe comple...
Spatial models, such as the Besag, York and Mollie (BYM)model, have long been used in epidemiology a...
This contribution deals with a quite common but relevant issue in insurance. Suppose to be intereste...
When analyzing catastrophic risk, traditional measures for evaluating risk, such as the probable max...
The paper proposes for the general framework for the optimization capacity of an insurance industry ...
This thesis introduces various approaches to natural catastrophe risk assessment in (re)insurance en...
This paper presents the emergence and evolution of catastrophe models (cat models). Starting with th...
Spatial models, such as the Besag, York and Mollie (BYM) model, have long been used in epidemiology ...
Mathematical risk assessment models based on empirical data and supported by the principles of physi...
© 2016 Society for Risk Analysis As flood risks grow worldwide, a well-designed insurance program en...
The spatial mapping of risk is critical in planning for disaster preparedness. An application from a...